Module: Supervised Classification
(c) 2005 by O.Conrad
Menu: Grid > Discretisation > Classification
Name | Type | Identifier | Description | Constraints |
---|---|---|---|---|
Input | ||||
Grids | Grid list (input) | GRIDS | ||
Training Areas | Shapes (input) | POLYGONS | ||
Output | ||||
Class Information | Table (output) | CLASSES | ||
Classification | Grid (output) | RESULT | ||
Distance/Probability (*) | Grid (optional output) | ML_PROB | Dependent on chosen method, these are the calculated minimum distances or the maximum probabilities. | |
Options | ||||
Class Identifier | Table field | FIELD | ||
Method | Choice | METHOD | Available Choices: [0] Minimum Distance [1] Maximum Likelihood | |
Normalise | Boolean | NORMALISE | Automatically normalise grids before classifying. Useful for minimum distance classification. | |
Probability Threshold (Percent) | Floating point | ML_THRESHOLD | Let pixel stay unclassified, if maximum likelihood probability is less than threshold. | Value Range: 0.000000 - 100.000000 |